• Diagnosis Methodology Based on Statistical-time Features and Linear Discriminant Analysis Applied to Induction Motors 

      Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A.; Delgado Prieto, Miquel; Romero Troncoso, René de Jesús (2017)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      The development of condition monitoring strategies is necessary to ensure the efficiency and reliability of the operation on electric machines. The feature calculation is an important signal processing step used to obtain ...
    • Enhanced Industrial Machinery Condition Monitoring Methodology based on Novelty Detection and Multi-Modal Analysis 

      Cariño Corrales, Jesús Adolfo; Delgado Prieto, Miquel; Zurita Millán, Daniel; Millan, Marta; Ortega Redondo, Juan Antonio; Romero Troncoso, Rene De Jesus (Institute of Electrical and Electronics Engineers (IEEE), 2016-10-19)
      Article
      Accés obert
      This paper presents a condition-based monitoring methodology based on novelty detection applied to industrial machinery. The proposed approach includes both, the classical classification of multiple a priori known scenarios, ...
    • Fault detection and identification methodology under an incremental learning framework applied to industrial machinery 

      Cariño Corrales, Jesús Adolfo; Delgado Prieto, Miquel; Iglesias Martínez, José Antonio; Sanchís, Araceli; Zurita Millán, Daniel; Millan, Marta; Ortega Redondo, Juan Antonio; Romero Troncoso, René (Institute of Electrical and Electronics Engineers (IEEE), 2018-09-03)
      Article
      Accés obert
      An industrial machinery condition monitoring methodology based on ensemble novelty detection and evolving classification is proposed in this study. The methodology contributes to solve current challenges dealing with ...
    • Hierarchical classification scheme based on identification, isolation and analysis of conflictive regions 

      Cariño Corrales, Jesús Adolfo; Zurita Millán, Daniel; Delgado Prieto, Miquel; Ortega Redondo, Juan Antonio; Romero Troncoso, Rene De Jesus (Institute of Electrical and Electronics Engineers (IEEE), 2014)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Abstract: A great deal of effort is being made to increase accuracy and reliability of Condition Based Maintenance systems; for instance, by improved feature selection strategies or optimization approaches of classifier ...
    • Supervised classification with SCADA data for condition monitoring of wind turbines 

      Hoxha, Ervin; Vidal Seguí, Yolanda; Pozo Montero, Francesc (2019)
      Text en actes de congrés
      Accés obert
      The reliability requirements of wind turbines have increased significantly in recent years inthe search for a lower impact on the cost of energy. In addition, the trend towards larger wind turbinesinstalled in remote ...
    • Vibration signal forecasting on rotating machinery by means of signal decomposition and neuro-fuzzy modeling 

      Zurita Millán, Daniel; Delgado Prieto, Miquel; Saucedo Dorantes, Juan Jose; Cariño Corrales, Jesús Adolfo; Osornio Rios, Roque A.; Ortega Redondo, Juan Antonio; Romero Troncoso, Rene de J. (2016-09-21)
      Article
      Accés obert
      Vibration monitoring plays a key role in the industrial machinery reliability since it allows enhancing the performance of the machinery under supervision through the detection of failure modes. Thus, vibration monitoring ...